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Found 6 papers, 2 papers with code
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
Our method clearly outperforms other model selection approaches - on average, it only requires 20% of computation costs for recommending models with 90% of the best-possible quality.
Energy Efficiency Considerations for Popular AI Benchmarks
Advances in artificial intelligence need to become more resource-aware and sustainable.
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines
This paper presents a low-power, self-sustainable, and modular wireless sensor node for aerodynamic and acoustic measurements on wind turbines and other industrial structures.
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
On the other hand, care labels are the result of a certification suite that tests whether stated guarantees hold.
Explainable Machine Learning with Prior Knowledge: An Overview
This survey presents an overview of integrating prior knowledge into machine learning systems in order to improve explainability.
Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework
How can they be guaranteed for a certain implementation of a machine learning model?
